Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
Non-negative Matrix Factorization with Sparseness Constraints
The Journal of Machine Learning Research
Investigating interactions of trust and interest similarity
Decision Support Systems
A survey of trust and reputation systems for online service provision
Decision Support Systems
PowerTrust: A Robust and Scalable Reputation System for Trusted Peer-to-Peer Computing
IEEE Transactions on Parallel and Distributed Systems
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Operators for propagating trust and their evaluation in social networks
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Trust and nuanced profile similarity in online social networks
ACM Transactions on the Web (TWEB)
Trust-Oriented Composite Service Selection and Discovery
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Modeling relationship strength in online social networks
Proceedings of the 19th international conference on World wide web
Trustworthy Service Selection and Composition
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Low rank modeling of signed networks
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Subgraph Extraction for Trust Inference in Social Networks
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
MATRI: a multi-aspect and transitive trust inference model
Proceedings of the 22nd international conference on World Wide Web
| Hi-index | 0.00 |
Internetware is envisioned as a new software paradigm where software developers usually need to interact with unknown partners as well as the software entities developed by them. To reduce uncertainty and boost collaborations in such setting, it is important to provide trustworthiness evaluation mechanisms so that trustworthy partners/entities can be easily found. In this work, we propose a novel trustworthiness evaluation mechanism by enhancing existing mechanisms with similarity and non-negative constraints. To be specific, we first extend an existing multi-aspect trust inference model by incorporating the non-negative constraint. One of the advantages of such constraint is its strong interpretability. Second, we incorporate similarity into two neighborhood models borrowed from recommender systems. When computing similarity, we make use of the intermediate results from the first step. Finally, these models are combined under a machine learning framework. To show the effectiveness of our method, we conduct experiments on a real data-set. The results show that: both our non-negativity extension and similarity computation improve the evaluation accuracy of the original methods, and the combined method outperforms several state-of-the-art methods.